"uuid","repository link","title","author","contributor","publication year","abstract","subject topic","language","publication type","publisher","isbn","issn","patent","patent status","bibliographic note","access restriction","embargo date","faculty","department","research group","programme","project","coordinates"
"uuid:a7869833-5b89-4971-9832-5c8b772cc3b0","http://resolver.tudelft.nl/uuid:a7869833-5b89-4971-9832-5c8b772cc3b0","Assessing network cognition in the Dutch railway system: insights into network situation awareness and workload using social network analysis","Lo, J.C. (TU Delft Organisation & Governance; ProRail); Meijer, S.A. (TU Delft Organisation & Governance; KTH Royal Institute of Technology)","","2019","This study takes upon a group cognition perspective and investigates the cognition of railway traffic operations, in particular railway traffic and passenger traffic control. A table-top simulation environment is used to conduct the study, in which its design principles are elaborated upon. Network cognition is operationalized through communication content and flow and studied through social network analysis (SNA). SNA centrality metrics, such as degree, closeness and betweenness, are assessed in these networks. As part of the study, two cases are compared where operational procedures for disruption mitigation are varied. The dependent variables are the different types of communication network structures that are conceptualized for communication flow and semantic network structures for communication content. Although the quantitative comparisons between the two operational procedures regarding their communication flow and semantic networks showed no significant differences, this study provides a methodology to compare different conditions.","Communication; Group cognition; Network situation awareness; Railway traffic operations; Social network analysis; Workload","en","journal article","","","","","","","","","","","Organisation & Governance","","",""
"uuid:426073ab-f664-455f-9298-daab9932f982","http://resolver.tudelft.nl/uuid:426073ab-f664-455f-9298-daab9932f982","Debriefing Research Games: Context, Substance and Method","van den Hoogen, J. (TU Delft Organisation & Governance); Lo, J.C. (TU Delft Organisation & Governance); Meijer, S.A. (TU Delft Organisation & Governance)","","2016","Background. Debriefing is an intrinsic part of games for learning and proper
debriefing can also be beneficial to research games. However, the literature
on how to debrief research games is sparse and only provides the professional
with an abstract topic guide.
Aim. The purpose of this study was to design a framework for the debriefing of
research games that are used in ongoing innovation processes.
Method. We used the literature on debriefing and experimental research and our
experience as game designers to build a framework that tackles the context,
substance and method of debriefing research games.
Results. Our framework provides three contributions. First, it shows how
the context in which a research game is applied sometimes impacts the
functionality of the game in negative ways. This can be helped by designing both
the game and the debriefing together. Second, we operationalize validity to a
greater extent, as this is the core of a good research game. Third, we provide
a methodology for debriefing professionals that opens up the black box of the
gaming simulation session.
Conclusion. The debriefing framework provides a method to collectively assess
the validity, reliability and robustness of the causal claims associated with the
research conducted.","","en","journal article","","","","","","","","","","","Organisation & Governance","","",""
"uuid:97ac4307-89c2-430c-8b4d-52ed4623d55a","http://resolver.tudelft.nl/uuid:97ac4307-89c2-430c-8b4d-52ed4623d55a","Individual markers of resilience in train traffic control: The role of operators’ goals and strategic mental models and their implications for variation, expertise and performance.","Lo, J.C. (TU Delft Organisation & Governance); Pluyter, K.R. (KTH Royal Institute of Technology); Meijer, S.A. (KTH Royal Institute of Technology)","","2016","Objective:
The aim of this study was to examine individual markers of resilience and obtain quantitative insights into the understanding and the implications of variation and expertise levels in train traffic operators’ goals and strategic mental models and their impact on performance.
Background:
The Dutch railways are one of the world’s most heavy utilized railway networks and have been identified to be weak in system and organizational resilience.
Method:
Twenty-two train traffic controllers enacted two scenarios in a human-in-the-loop simulator. Their experience, goals, strategic mental models, and performance were assessed through questionnaires and simulator logs. Goals were operationalized through performance indicators and strategic mental models through train completion strategies.
Results:
A variation was found between operators for both self-reported primary performance indicators and completion strategies. Further, the primary goal of only 14% of the operators reflected the primary organizational goal (i.e., arrival punctuality). An incongruence was also found between train traffic controllers’ self-reported performance indicators and objective performance in a more disrupted condition. The level of experience tends to affect performance differently.
Conclusion:
There is a gap between primary organizational goals and preferred individual goals. Further, the relative strong diversity in primary operator goals and strategic mental models indicates weak resilience at the individual level.
Application:
With recent and upcoming large-scale changes throughout the sociotechnical space of the railway infrastructure organization, the findings are useful to facilitate future railway traffic control and the development of a resilient system.","goal competition; diversity; organizational resilience; railway; sociotechnical system","en","journal article","","","","","","","","","","","Organisation & Governance","","",""
"uuid:edd4d97c-2371-4c44-ab30-1041a3e94080","http://resolver.tudelft.nl/uuid:edd4d97c-2371-4c44-ab30-1041a3e94080","Assessing gaming simulation validity for training traffic controllers.","van Lankveld, G. (TU Delft Organisation & Governance; Open Universiteit, Heerlen); Sehic, E. (ProRail); Lo, J.C. (TU Delft Organisation & Governance); Meijer, S.A. (TU Delft Organisation & Governance; KTH Royal Institute of Technology)","","2016","Background. The Dutch railway company ProRail is performing large-scale capacity upgrades to their infrastructure network. As part of these upgrades, ProRail uses gaming simulations to help prepare train traffic controllers for new infrastructure situations. Researching the validity of these gaming simulations is essential, since the conclusions drawn from gaming simulation use may result in decisions with large financial and social impact for ProRail and Dutch train passengers. Aim. In this article, we aim to investigate the validity of the gaming simulations for training traffic controllers for new situations in rail infrastructure. We also aim to contribute to the discussion on the minimum level of fidelity required to develop and conduct gaming simulations in a valid way. Method. We investigate the validity by using training sessions in conjunction with questionnaires. We based the approach and questionnaires on the earlier work of Raser. Results. Our results show that the validity of the gaming simulation ranges from medium to good. They also show that while the fidelity of the gaming simulation is not like the real-world operating conditions, this does not reduce validity to low levels. Conclusions. We conclude that the gaming simulation used in this study was of medium to good validity. We also conclude that maximum fidelity is not required in order to run a valid gaming simulation session.","fidelity; gaming simulation; infrastructure; questionnaire; railway; teaching; traffic controller; train; training; validity","en","journal article","","","","","","","","","","","Organisation & Governance","","",""